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4 hours ago
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aws python kubernetes typescript mlπ Description
- Own technical wins by building PoVs with AEs to drive discovery.
- Lead deep technical talks with ML engineers to design scalable AI workloads.
- Design and deliver live demos, PoVs, and prototypes for training and inference at scale.
- Architect ML/GenAI systems: distributed training, RAG, multi-agent, LLM fine-tuning.
- Translate business goals into measurable outcomes: quality, cost, speed.
- Advise on MLOps/LLMOps best practices; partner with Product/Engineering on roadmap.
π― Requirements
- 2+ years in Solutions Engineering or similar customer-facing role.
- Strong Python; bonus TypeScript/JavaScript.
- Hands-on training, fine-tuning, evaluating, deploying deep learning/LLM systems.
- Experience with GenAI architectures: RAG, tool-using agents, evaluation frameworks.
- Cloud-native architectures across AWS, GCP, or Azure; containers, networking, security.
- Whiteboard distributed training/inference and implement prototypes; strong communication.
π Benefits
- Medical, dental, and vision insurance β 100% paid by CoreWeave.
- Company-paid life insurance; voluntary life options.
- Disability, FSA, HSA; Tuition reimbursement; ESPP.
- 401(k) with generous match; Flexible PTO.
- Mental wellness benefits; Parental leave; Family/childcare support.
- Catered lunches; Casual work environment.
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